Adaptive, intelligent transform-based analog to information...

Coded data generation or conversion – Analog to or from digital conversion – Analog to digital conversion

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C341S110000, C341S143000

Reexamination Certificate

active

07324036

ABSTRACT:
The present invention provides an adaptive, intelligent transform based Analog to Information Converter (AIC) for wideband signals by directly converting an analog signal to information (e.g., features, decisions). This direct conversion is achieved by (i) capturing most of the information of a wideband signal via hardware/software implemented mathematical transformations, (ii) effectively removing unwanted signals such as jammer and interfere from the input signal, and (iii) using novel algorithms for highly accurate decision making and feature extraction (e.g., high probability of detection with low probability of false alarm). The jump in the improvement over today's state-of-the-art is in terms of effective and optimum signal information extraction at high-speed.

REFERENCES:
patent: 5495554 (1996-02-01), Edwards et al.
patent: 5568142 (1996-10-01), Velazquez et al.
patent: 6339390 (2002-01-01), Velazquez et al.
patent: 6362760 (2002-03-01), Kober et al.
patent: 6518908 (2003-02-01), Boehm et al.
patent: 6701297 (2004-03-01), Main
M. Unser, “Sampling-50 years after Shannon,” Proceedings of the IEEE, vol. 88, Issue 4, Apr. 2000, pp. 569-587.
M. Kamada, “A smooth signal generator based on quadratic B-spline functions,” Signal Processing, IEEE Transactions on, vol. 43, Issue 5, May 1995, pp. 1252-1255.
G. Walter, “A sampling theorem for wavelet subspaces,” Information Theory, IEEE Transactions on, vol. 38, Issue 2, Part 2, Mar. 1992, pp. 881-884.
C. Herley, “Wavelets and recursive filter banks,” signal Processing, IEEE Transactions on, vol. 41, Issue 8, Aug. 1993, pp. 2536-2556.
Z. Xiong, “Flexible tree-structured signal expansions using time-varying wavelet packets,” Signal Processing, IEEE Transactions on, vol. 45, Issue 2, Feb. 1997, pp. 333-345.
A. Averbuch, “Biorthogonal Butterworth wavelets derived from discrete interpolatory splines,” Signal Processing, IEEE Transactions on, vol. 49, Issue 11, Nov. 2001, pp. 2682-2692.
E. King, “A Nyquist-rate delta-sigma A/D converter,” Solid-State Circuits, IEEE Journal of, vol. 33, Issue 1, Jan. 1998, pp. 45-52.
P. Lowenborg, “Analysis of gain and time-skew errors in filter bank based A/D converters,” Circuits and Systems, 2001. MWSCAS 2001. Proceeding of the 44th IEEE 2001 Midwest symposium on, vol. 1, 2001, pp. 263-266, no month.
Q. Jiang and S. Kadambe, “Target enhancement using steerable pyramid decomposition and multi-channel filtering,” in Proc. Of 35th Asilomar conference on Signals, systems and computers, Asilomar grounds, Pacific Grove, CA, Nov. 4-7, 2001.
S. Kadambe and Y. Owechko, “Computation reduction in space time adaptive processing (STAP) of Radar signals using orthogonal wavelet decompositions,” Proc. Of 34th Asilomar Conference on Signals, Systems & Computers, Pacific Grove, CA, Oct. 30 to Nov. 1, 2000.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Adaptive, intelligent transform-based analog to information... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Adaptive, intelligent transform-based analog to information..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adaptive, intelligent transform-based analog to information... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3964841

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.